Data Science Engineer
hace 3 semanas
About the Role
We are seeking a highly skilled Machine Learning Engineer to join our team at Publicis Re:Sources Global. As a key member of our data science team, you will play a critical role in the development and application of data science algorithms and advanced analytics techniques across a variety of use cases.
Key Responsibilities
- Design and build models over various datasets to analyze importance/centrality, similarity, and other key metrics.
- Develop and implement data-driven solutions to drive business growth and improve user experience.
- Collaborate with cross-functional teams to identify business opportunities and develop data-driven strategies.
- Stay up-to-date with the latest advancements in machine learning and data science, and apply this knowledge to drive innovation and improvement.
- Communicate complex technical concepts to non-technical stakeholders, including senior leadership.
Requirements
- Strong experience working with data science/ML libraries in Python (SciPy, NumPy, TensorFlow, SciKit-Learn, etc.)
- Experience working in cloud development environments (especially Azure, ADF, PySpark, Scala, DataBricks Delta, R, SQL)
- Experience building data science models for use on front-end, user-facing applications
- Experience with REST APIs, JSON, streaming datasets
- Experience working with user behavioral data, such as web analytics (Google/Adobe Analytics)
- Experience building ML models and pipelines using MLflow, AirFlow
- Experience with big data tools: Hadoop, Spark, Kafka, etc.
- Experience with relational SQL and NoSQL databases
- Experience with stream-processing systems: Storm, Spark-Streaming, etc.
What We Offer
At Publicis Re:Sources Global, we offer a dynamic and collaborative work environment, with opportunities for professional growth and development. We are committed to fostering a culture of innovation, creativity, and excellence.
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